Pricing Analyst

Business Intelligence Analyst (Pricing) -6 Months Contract

MRT-Bugis, Nicole Highway

You will own the analytical frameworks that drive commercial pricing strategies across the Asia-Pacific region. This role bridges market intelligence, predictive modeling, and strategic pricing execution. You will turn raw market data into actionable revenue-generating insights, collaborating directly with sales, trading, and regional supply chain teams.

Key Responsibilities

Pricing Strategy & Execution

• Develop dynamic pricing models to optimize regional margins for refined products and lubricants.
• Evaluate daily market price exposure against local benchmarks (e.g., Platts indices).
• Audit pricing structures across B2B and retail segments to minimize margin leakage.
• Approve non-standard pricing requests from commercial teams based on financial risk assessments.

Business Intelligence & Analytics

• Design and maintain automated BI dashboards using Power BI and Tableau.
• Consolidate complex data streams from SAP, CRM, and external market intelligence platforms.
• Build predictive analytics tools to forecast demand elasticity and competitor behavior.
• Lead data governance initiatives to improve regional commercial data accuracy and pipeline health.

Market Intelligence & Reporting

• Synthesize macroeconomic trends, regulatory changes, and geopolitical events impacting regional oil prices.
• Present monthly commercial performance reviews to regional executive leadership.
• Conduct deep-dive competitor analysis to benchmark Chevron’s market positioning.

Education & Experience

• Bachelor’s degree in business, Finance, Statistics, Data Analytics, or Engineering.
• 4 to 7 years of experience in pricing, commercial analysis, or business intelligence.
• Industry background in Oil & Gas, Energy Trading, Commodities, or Chemicals is highly preferred.

Technical Skills

• Advanced SQL capabilities for data extraction and data manipulation.
• Expertise in BI tools like Power BI, Tableau, or QlikView.
• Proficiency in Excel (advanced financial modeling, VBA/Macros).
• Familiarity with ERP systems, specifically SAP (SD/MM modules).
• Python or R programming skills for statistical analysis are a strong plus.

Soft Skills

• Strong stakeholder management to challenge and influence cross-functional regional leaders.
• Excellent communication to translate complex data into simple, strategic business stories.
• Sharp attention to detail while managing time-sensitive daily pricing deadlines